Abstract
The spread of rice pests such as BPH in tropical areas is one of the best-known yield lost factors. Remote sensing can support precision farming practices for determining the location of spreads and using pesticide in the right place. In a specifically conducive environment like high temperature and heavy rainfall, BPH population will increase. To address this issue, detection of sheath blight in rice farming was examined by using SPOT-5 images. Also, the extraction of weather data derived from Landsat images for comparing with the BPH infestation was undertaken. Results showed that all the indices that recognize infected plants are significant at α = 0.01. Examination of the association between the disease indices indicated that band 3 (near infrared) and band 4 (mid infrared) in SPOT-5 images have a relatively high correlation for detecting diseased part from healthy ones. The selected indices declared better association for detecting healthy plants from diseased ones. Image investigations revealed that BPH were existing at the higher limits of tolerable temperatures when in the form of nymphs. With the knowledge that the late growth stage of plants has more severe BPH attacks, the results stated that BPH outbreak is particularly obvious in the north-west corner and middle regions of the maps and it is more likely to happen in specified ranges of temperature and RH, i.e. 29 °C <T< 32 °C, and 88 % <RH< 93 %.
Similar content being viewed by others
References
Abduwasit, G. (2010). Calculating surface temperature using landsat thermal imagery. St Louis: Landsat handbook, Department of Earth and Atmospheric Sciences, and Centre for Environmental Sciences.
Ayalew, L., & Yamagishi, H. (2005). The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 65, 15–31.
Bae, S. H., & Pathak, M. D. (1970). Life history of Nilaparvata lugens (Homoptera: Delphacidae) and susceptibility of rice varieties to its attacks. Annals of the Entomological Society of America, 63(1), 149–155.
Cheng, C. H. (1998). Impact of global climate change on crop insect pests in relation to pest control strategies in Taiwan (In Chinese with English summary). In C. Y. Lin & C. M. Yang (Eds.), Proceedings of symposium of crop production in response to global climate change (pp. 74–85). Taichung Hsien: Taiwan Agricultural Research Institute Press.
Chu, Y. I. & Chao, J. T. (2000). The impact of global change on insects (In Chinese). In T. C. Wang & W. J. Wu (Eds.), Applied entomology (pp. 341–366). Taipei: National Taiwan University.
Evans, J. R. (1989). Photosynthesis and nitrogen relationships in leaves of C3 plants. Oecologia, 78, 9–19.
Faranak, G., Aimrun, W., Shattri, M., & Helmi, Z. S. (2014). Detection of BPH (Brown Planthopper) sheath blight in rice farming using multispectral remote sensing. Geomatics, Natural Hazards and Risk.,. doi:10.1080/19475705.2014.885468.
François, C., Bosseno, R., Vacher, J. J., & Seguin, B. (1999). Frost risk mapping derived from satellite and surface data over the Bolivian Altiplano. Agricultural and Forest Meteorology, 95(2), 113–137.
Frazier, M. R., Huey, R. B., & Berrigan, D. (2006). Thermodynamics constrains the evolution of insect population growth rates: ‘Warmer is better’. American Naturalist, 168(4), 512–520.
Gianquinto, G., Orsini, F., Fecondini, M., Mezzetti, M., Sambo, P., & Bona, S. (2011). A methodological approach for defining spectral indices for assessing tomato nitrogen status and yield. European Journal of Agronomy, 35, 135–143.
Harrington, R., Fleming, R. A., & Woiwod, I. P. (2001). Climate change impacts on insect management and conservation in temperate regions: Can they be predicted? Agricultural and Forest Entomology, 3(4), 233–240.
Ho, H. S., & Liu, T. H. (1969). Ecological investigation on brown planthopper in Taichung District [in Chinese, English summary]. Plant Protection Bulletin (Taiwan), 11(1), 33–42.
Huang, S. H., Cheng, C. H., Chen, C. N., & Wu, W. J. (2009a). The trend of occurrence and prospective control measures of rice insect pests in Taiwan (In Chinese with English summary). In Proceedings of symposium on achievement and perspectives of rice protection in Taiwan (pp. 131–147). Chiayi: Chiayi Agricultural Experiment Station, Taiwan Agricultural Research Institute.
Huang, S. H., Cheng, C. H., Chen, C. N. & Wu, W. J. (2009b). The migratory rice insect pests and management in Taiwan. In Proceedings of APEC-RDA workshop on the epidemics of migratory insect pests and associated virus diseases in rice and their impact on food security in APEC member economies (pp. 276–294). Seoul: Education and Culture Center, Rural Development Administration.
Kalode, M. B. (1976). Brown planthopper in rice and its control. Indian Farming, 27(5), 3–5.
Lee, S., & Sambath, T. (2006). Landslide susceptibility mapping in the Damrei Romel area, Cambodia using frequency ratio and logistic regression models. Environmental Geology, 50, 847–855.
Maskova, Z., Zemek, F., & Kvet, J. (2008). Normalized difference vegetation index (NDVI) in the management of Mountain Meadows. Boreal Environmental Research, 13(5), 417–432.
McVicar, T. R., & Jupp, D. L. B. (1999). Estimating one-time-of-day meteorological data from standard daily data as inputs to thermal remote sensing based energy balance models. Agricultural and Forest Meteorology, 96, 219–238.
Nguyen, V. G. N., Huyen, H. X., Vo, T. T. & Drogoul, A. (2006). On weather affecting to brown plant hopper invasion using an agent-based model. In Proceedings of the international conference on management of emergent digital ecosystems, November 21–24 2011.
Pathak, M. D. (1968). Ecology of common insect pests of rice. Annual Review of Entomology, 13, 257–294.
Peng, Y., & Gitelson, A. A. (2012). Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content. Remote Sensing of Environment, 117, 440–448.
Pons, X., Comas, J., & Albajes, R. (1993). Overwintering of Cereal aphids (Homoptera: Aphididae) on durum wheat in a mediterranean climate. Environmental Entomology, 22(2), 381–387.
Pons, X., & Tatchell, G. M. (1995). Drought stress and cereal aphid performance. Annals of Applied Biology, 126(1), 19–31. doi:10.1111/j.1744-7348.1995.tb05000.x.
Ribbes, F., & Le Toan, T. (1999). Rice field mapping and monitoring with RADARSAT data. International Journal of Remote Sensing, 20(4), 745–765.
Schmugge, T., French, A., Ritchie, J. C., Rango, A., & Pelgrum, H. (2002). Temperature and emissivity separation from multispectral thermal infrared observations. Remote Sensing of Environment, 79(2–3), 189–198.
Snyder, W. C., Wan, Z., Zhang, Y., & Feng, Y.-Z. (1998). Classification-based emissivity for land surface temperature measurement from space. International Journal of Remote Sensing, 19, 2753–2774.
Southworth, J. (2004). An assessment of Landsat TM Band 6 thermal data for analysing land cover in tropical dry forest regions. International Journal of Remote Sensing, 25(4), 689–706.
Tien Bui, D., Chung Ho, T., Revhaug, I., Pradhan, B., & Nguyen, D. B. (2013). Landslide Susceptibility Mapping Along the National Road 32 of Vietnam Using GIS-Based J48 Decision Tree Classifier and Its Ensembles. Springer-Verlag Berlin Heidelberg. doi:10.1007/978-3-642-32618-9_22.
Wang, Q., & Li, P. (2012). Hyperspectral indices for estimating leaf biochemical properties in temperate deciduous forests: Comparison of Simulated and measured reflectance data sets. Ecological Indicators, 14(1), 56–65.
Zhang, M. (2002). Spectral discrimination of Phytophthora infestans infection on tomatoes based on principle component and cluster analyses. International Journal of Remote Sensing, 23(6), 1095–1107.
Zhang, M., Qin, Z., Liu, X., & Ustin, S. L. (2003). Detection of stress in tomatoes induced by late blight disease in California, USA, using hyperspectral remote sensing. International Journal of Applied Earth Observation and Geoinformation, 4, 295–310.
Acknowledgments
Support from the faculty staff and GISRC members is acknowledged. Thank you to Mr Syariman Samsudin from Agency Remote Sensing Malaysia (ARSM).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Funding
This work was supported by the Research University Grant Scheme (RUGS) [Project Number 05-02-12-2222RU].
Rights and permissions
About this article
Cite this article
Ghobadifar, F., Aimrun, W. & Jebur, M.N. Development of an early warning system for brown planthopper (BPH) (Nilaparvata lugens) in rice farming using multispectral remote sensing. Precision Agric 17, 377–391 (2016). https://doi.org/10.1007/s11119-015-9422-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11119-015-9422-9